State of the Art of GNSS and SAR/InSAR Techniques for Geomatic Applications
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing in Geology, Geomorphology and Hydrology".
Deadline for manuscript submissions: 31 January 2025 | Viewed by 244
Special Issue Editors
Interests: GNSS; remote sensing; geomatics; faulting; deformation
Interests: Galileo; GLONASS; GPS; GNSS; CORS; remote sensing; geomatics; dam displacements
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Modern remote sensing and space geodetic technologies, as important tools for earth observation and characterization, provide continuous, spatial-scale data sets, making high-resolution mapping possible at different spatio-temporal scales. In particular, synthetic aperture radar (SAR) and global satellite navigation system (GNSS) are powerful means to study the physical processes and interactions of geomorphic dynamics at different spatial scales.
Synthetic aperture radar (SAR), as an all-weather sensor, can work continuously day and night. SAR interferometry (InSAR) is a commonly used technique to quantify the ground motion processes using phase information. At the same time, with the continuous advancement of feature extraction technologies such as machine learning/deep learning models, data mining, and fusion, it is gradually being widely used in the study of mapping dynamics.
We are pleased to announce a new Special Issue on remote sensing. Research topics include, but are not limited to, the following:
- Earth observation using GNSS time series in near real-time;
- Processing and analysis methods using InSAR data;
- New data processing algorithms and programs based on SAR data;
- Integration and fusion of multi-source data;
- Measurements combined with accurate geographic information systems;
- Subsurface and surface deformation/subsidence dynamics;
- Dynamic changes in fault/crustal trajectories and geometry;
- Physical processes at different time and space scales before and after geological disasters;
- Risk avoidance research on geological disasters such as landslides, earthquakes, and volcanic activities;
- Mapping applications of GNSS/SAR combined with advanced artificial intelligence technology.
Dr. Claudia Pipitone
Prof. Dr. Gino Dardanelli
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- geomatic applications
- SAR/InSAR
- GNSS time series
- deformation analysis
- fault/crustal property
- active tectonics
- multi-source data integration
- seismic activities
- stability modeling
- time series analysis
- landslides
- hazard mapping
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